https://github.com/tencent-ailab/lodoss
공식 코드Toward Unifying Text Segmentation and Long Document Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
What is Human Pose Estimation? Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The reason for its importance is the abundance of applications that can benefit from such a technology. For example, human pose estimation allows for higher-level reasoning in the context of human-computer interaction and activity recognition; it is also one of the basic building blocks for marker-less motion capture (MoCap) technology. MoCap technology is useful for applications ranging from character animation to clinical analysis of gait pathologies.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Toward Unifying Text Segmentation and Long Document Summarization
Salience Allocation as Guidance for Abstractive Summarization
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Mitigating Artifacts in Real-World Video Super-Resolution Models
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Multilingual and Explainable Text Detoxification with Parallel Corpora
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Pluggable Style Representation Learning for Multi-Style Transfer
Generalized One-shot Domain Adaptation of Generative Adversarial Networks
Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Detecting Reference Errors in Scientific Literature with Large Language Models
Semi-supervised Human Pose Estimation in Art-historical Images
Verifying Cross-modal Entity Consistency in News using Vision-language Models
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Science Concierge: A fast content-based recommendation system for scientific publications
Automated Review Generation Method Based on Large Language Models
Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.